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Article Dans Une Revue CIRP Annals - Manufacturing Technology Année : 2019

Knowledge-based multi-level aggregation for decision aid in the machining industry

Résumé

In the context of Industry 4.0, data management is a key point for decision aid approaches. Large amounts of manufacturing digital data are collected on the shop floor. Their analysis can then require a large amount of computing power. The Big Data issue can be solved by aggregation, generating smart and meaningful data. This paper presents a new knowledge-based multi-level aggregation strategy to support decision making. Manufacturing knowledge is used at each level to design the monitoring criteria or aggregation operators. The proposed approach has been implemented as a demonstrator and successfully applied to a real machining database from the aeronautic industry. Decision Making; Machining; Knowledge based system
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Dates et versions

hal-02103742 , version 1 (18-04-2019)

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Mathieu Ritou, Farouk Belkadi, Zakaria Yahouni, Catherine M. da Cunha, Florent Laroche, et al.. Knowledge-based multi-level aggregation for decision aid in the machining industry. CIRP Annals - Manufacturing Technology, 2019, 68 (1), pp.475-478. ⟨10.1016/j.cirp.2019.03.009⟩. ⟨hal-02103742⟩
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